Compressive Sensing-Based Algorithm for One-Dimensional Scattering Center Extraction

Abstract

This article proposes a one-dimensional scattering center extraction (SCE) method that includes mainly two steps: coarse estimation of scattering centers using the iteratively reweighted least square (IRLS) coupled with a peak-finding algorithm and fine estimation of scattering centers using the orthogonal matching pursuit (OMP) procedure from the adaptively sampled Fourier dictionary. Consequently, the proposed method can achieve high SCE accuracy regardless of whether data are missing in the collected radar-cross-section (RCS) dataset or not. (c) 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1408-1415, 2016